The graph represents a network of 8,012 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 08 November 2021 at 01:58 UTC.
The requested start date was Monday, 08 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 17-hour, 55-minute period from Thursday, 04 November 2021 at 18:12 UTC to Sunday, 07 November 2021 at 12:08 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 8012
Unique Edges : 2444
Edges With Duplicates : 12618
Total Edges : 15062
Number of Edge Types : 5
Retweet : 5977
MentionsInRetweet : 6545
Replies to : 609
Tweet : 933
Mentions : 998
Self-Loops : 993
Reciprocated Vertex Pair Ratio : 0.00569063631660631
Reciprocated Edge Ratio : 0.0113168724279835
Connected Components : 1053
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 4154
Maximum Edges in a Connected Component : 8782
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.72763
Graph Density : 0.000121151439735915
Modularity : 0.492872
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,012 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 08 November 2021 at 01:58 UTC.
The requested start date was Monday, 08 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 17-hour, 55-minute period from Thursday, 04 November 2021 at 18:12 UTC to Sunday, 07 November 2021 at 12:08 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : HIV AIDS
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2860] single,act [2860] act,member [2860] member,fought [2860] fought,died [2860] died,late [2860] late,80s [2860] 80s,early [2860] early,90s [2860] 90s,class [2860] class,drugs Top Word Pairs in Tweet in G1:
[2845] single,act [2845] act,member [2845] member,fought [2845] fought,died [2845] died,late [2845] late,80s [2845] 80s,early [2845] early,90s [2845] 90s,class [2845] class,drugs Top Word Pairs in Tweet in G2:
[256] hiv,aids [76] social,media [72] here's,roundup [72] roundup,popular [72] popular,completely [72] completely,untrue [72] untrue,stories [72] stories,visuals [72] visuals,week [72] week,none Top Word Pairs in Tweet in G3:
[356] hiv,hpv [356] hpv,aids [356] aids,herpes [356] herpes,chlamydia [356] chlamydia,rate [356] rate,way [356] way,high [356] high,having [356] having,hoes [356] hoes,side Top Word Pairs in Tweet in G4:
[257] amfar,gala [233] jeremy,scott [151] aids,research [149] hiv,aids [136] anittapress,anitta [90] moschino,fashion [90] fashion,show [90] show,2022 [81] gala,angeles [81] angeles,2021 Top Word Pairs in Tweet in G5:
[164] ending,aids [164] aids,achievable [164] achievable,two [164] two,countries [164] countries,vastly [164] vastly,different [164] different,switzerland [164] switzerland,european [164] european,industrialized [164] industrialized,country Top Word Pairs in Tweet in G6:
[138] jelang,hari [138] hari,aids [138] aids,sedunia [138] sedunia,human [138] human,immunodeficiency [138] immunodeficiency,virus [138] virus,hiv [138] hiv,dapat [138] dapat,ditularkan [138] ditularkan,melalui Top Word Pairs in Tweet in G7:
[29] normal,heart [26] world,aids [25] aids,day [15] #rocktheribbon,style [15] style,#worldaidsday [15] #worldaidsday,designer [15] designer,brooch [15] brooch,nat_aids_trust [15] nat_aids_trust,full [15] full,range Top Word Pairs in Tweet in G8:
[50] hiv,aids [30] same,people [30] people,lying [26] aids,airborne [22] hilarious,aids [22] airborne,never [22] never,forget [22] forget,same [22] lying,aids [14] aids,hiv Top Word Pairs in Tweet in G9:
[100] #bigpharma,nel [100] nel,2005 [100] 2005,#pfizer [100] #pfizer,stata [100] stata,nei [100] nei,top [100] top,wanted [100] wanted,come [100] come,dei [100] dei,peggiori Top Word Pairs in Tweet in G10:
[63] magic,johnson [63] johnson,hiv [63] hiv,disclosure [63] disclosure,helped [63] helped,shatter [63] shatter,stigmas [63] stigmas,30 [63] 30,years [63] years,later [63] later,disparities Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: